“I Will Not Leave My Body Here”: Migrant Farmworkers’ Health and Safety Amidst a Climate of Coercion
Bibliographic record
Abstract
Every year more temporary migrant workers come to Canada to fill labour shortages in the agricultural sector. While research has examined the ways that these workers are made vulnerable and exploitable due to their temporary statuses, less has focused on the subjective experiences of migrant agricultural workers in regards their workplace health and safety. We conducted interviews and focus groups with migrant workers in the interior of British Columbia, Canada and used a narrative line of inquiry to highlight two main themes that illustrate the implicit and complex mechanisms that can structure migrant agricultural workers' workplace climate, and ultimately, endanger their health and safety. The two themes we elaborate are (1) authorities that silence; and (2) "I will not leave my body here." We discuss the implications of each theme, ultimately arguing that a number of complex political and economic forces create a climate of coercion in which workers feel compelled to choose between their health and safety and tenuous economic security.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.030 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".